Identification of abnormal tissue from CT images using improved ResNet34-Reference-Cited by-同舟云学术

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Identification of abnormal tissue from CT images using improved ResNet34

Published:2022-11-27 Issue: Volume: Page:
ISSN:
Container-title:2022 22nd International Conference on Control, Automation and Systems (ICCAS)
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Author:

Honda Naoya¹,Kamiya Tohru¹,Kido Shoji²

Affiliation:

1. Kyushu Institute of Technology, 1-1 Sensui, Tobata, Kitakyushu,Department of Mechanical and Control Engineering,Fukuoka,Japan,804-8550

2. Osaka University, 2-2 Yamadaoka, Suita,Department of Artificial Intelligence Diagnostic Radiology,Osaka,Japan,565-0871

Funder

Kayamori Foundation of Informational Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10003266/10003667/10003937.pdf?arnumber=10003937

Reference13 articles.

1. Generative adversarial networks;goodfellow;Neural Information Processing Systems,2014

2. Deep Learning for Detecting Robotic Grasps

3. Bag of Tricks for Image Classification with Convolutional Neural Networks

4. CT temporal subtraction: techniques and clinical applications

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DG2GAN: improving defect recognition performance with generated defect image sample;Scientific Reports;2024-06-26

2. Identification of Nodular Shadows from CT Images Using Improved CoAtNet Incorporated Clinical Recording;2023 23rd International Conference on Control, Automation and Systems (ICCAS);2023-10-17

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